SPSS Assignment #3: Confidence Intervals & 1-sample t-tests
Lab Assignment
Population Health Outcomes: Interpreting Results for Better Science
During this module, we have focused on the importance of understanding populations and the factors affecting that population – from cultural to health disparities – to improve health outcomes. We have also highlighted the importance of data in guiding your approach. We have talked about the theoretical constructs and practiced doing calculations by hand. Now, it is time to go deeper into the data and to practice analyzing actual datasets.
Instructions:
You will continue to use the BRFSS dataset to answer the questions in this assignment.
Prior to completing this lesson, be sure to review:
Recommend that you work through this assignment first, and then answer the questions on Canvas using the results you have found.
Please read instructions to each section carefully to understand what type of response you should be giving. This should illustrate that you completed the work yourself and using SPSS.
Questions – One-sample t-tests
Using the BRFSS dataset, conduct one-sample t-tests to obtain the Mean and the 95% Confidence Intervals of the Mean. Refer to SPSS Lab #3 lecture for a step-by-step process. In general, you will do the following steps for each of these questions:
These 4 variables will be asked in the quiz for credit. Make sure to copy directly from the output and not to round.
Sleeptime | Age | Strength | Height |
Questions – One-sample proportions
Using the BRFSS dataset, conduct one-sample proportions to obtain the proportion and the 95% Confidence Intervals of that proportion. Refer to SPSS Lab #3 lecture for a step-by-step process. In general, you will do the following steps for each of these questions:
These 4 variables will be asked in the quiz for credit; the format is “Variable name = value for the proportion.” Make sure to copy directly from the output and not to round.
Sex = Male | Smoke100 = Yes | FluShot = Yes | HIVTest = Yes |
Additional Activity (not graded)
In SPSS Assignment #5, you will be required to create new variables for your analysis using existing variables in your data. Ch. 8 in the SPSS Survival Manual will be useful.
After you create a new variable, you should run descriptive statistics/frequency tables, histograms, and boxplots to verify that it worked properly.
Lower Bound | Upper Bound | Value | Value Label |
Lowest value | < 18.5 | 1 | Underweight |
>= 18.5 | < 25 | 2 | Normal |
>= 25 | < 30 | 3 | Overweight |
>= 30 | Highest value | 4 | Obese |
Hisplat | Race | New Variable Value | Value Label |
2 | 10 | 1 | White, non-Hispanic |
2 | 20 | 2 | Black, non-Hispanic |
1 | Any value | 3 | Hispanic/Latino |
2 | 30, 40, 41, 42, 43, 44, 45, 46, 47, 50, 51, 52, 53, 54, 60, 70 | 4 | Other, non-Hispanic |
Smoke100 | Smokeday | New Variable Value | Value Label |
2 | Missing | 1 | Never Smoker |
1 | 3 | 2 | Former Smoker |
1 | 1 or 2 | 3 | Current Smoker |
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